Data Scientist (Gen AI Governance)

Position OverviewAt PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a Data Scientist within PNC's Data and Automation organization, you will be based in Pittsburgh, PA, Strongsville, OH, Birmingham, AL, Dallas, TX, or Denver, CO.The Data Scientist plays a critical role in ensuring that Technology and Generative AI (GenAI) solutions comply with enterprise governance, risk, and control standards. This role is responsible for evaluating complex data sets, models, designs, and GenAI use cases to assess risk and control effectiveness, validate evidence, and provide actionable feedback to solution owners and governance stakeholders. Additional responsibilities include: • Performs analytical tasks on structured and unstructured data to extract actionable business insights. • Participates in the data gathering, data processing and data mining of large and complex datasets. • Develops algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management. • Runs analytical experiments in a methodical manner to find opportunities for product and process optimization. Assists in the presentation of business insights to management using visualization technologies and data storytelling. • May partner with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business.Qualifications & Experience: • Experience in AI/ML or GenAI governance, model risk management, or technology risk management. • Strong background in risk assessment, control evaluation, and issue remediation. • Familiarity with enterprise governance frameworks and audit concepts. • Ability to clearly articulate complex technical and governance concepts to non-technical stakeholders. • Experience working in highly regulated or enterprise-scale environments preferred.Tools & Technology • Standard Microsoft productivity suite (Excel, PowerPoint, Word, Teams, SharePoint) • Governance workflows, issue tracking, and documentation platforms • Exposure to AI/ML lifecycle tooling and model documentation is a plusPNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.Job DescriptionPerforms analytical tasks on vast amounts of structured and unstructured data to extract actionable business insights.Participates in the data gathering, data processing and data mining of large and complex datasets.Develops algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management.Runs analytical experiments in a methodical manner to find opportunities for product and process optimization. Assists in the presentation of business insights to management using visualization technologies and data storytelling.May partner with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business.PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.QualificationsSuccessful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.Preferred SkillsAnalytical Thinking, Competitive Advantages, Data Analytics, Data Governance Framework, Data Mining, Data Science, Generative AI, Machine Learning (ML), SAS Model Risk Management, Technology Risk ManagementCompetenciesData Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access ToolsWork ExperienceRoles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.EducationMastersCertificationsNo Required Certification(s)LicensesNo Required License(s)Pay TransparencyBase Salary: $86,250.00 – $158,125.00Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.Application WindowGenerally, this opening is expected to be posted for two business days from 06/01/2026, although it may be longer with business discretion.BenefitsPNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability prot